We performed a comparison between Alteryx and Databricks based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Databricks has a slight edge in this comparison. It received better marks in the pricing category than Alteryx did.
"Alteryx helps me do a lot of automation. The best thing about Alteryx is that you don't have to repeat the workflow over and over again. Unlike Excel, where you need to write formulas for each new file, Alteryx follows a consistent process. You can schedule and automate the workflow, even if the files change."
"The filtering is fast, and it provides a search tool that is great."
"It is one of the most complete and great customer service that I experienced with a software company/ecosystem."
"Alteryx makes it easy for the end customer to see clean data in a structured form."
"Alteryx has made us more agile and increased the speed and effectiveness of decision making."
"The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy."
"One-stop shop for data preparation, blending, prediction, and optimization in a single workflow."
"Alteryx speeds up the time to obtain business answers/insights on data."
"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"The setup is quite easy."
"We have the ability to scale, collaborate and do machine learning."
"The processing capacity is tremendous in the database."
"The initial setup is pretty easy."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"Configuration is very low."
"The only weakness I would say is on the visualization side of having that dynamic incapability."
"The solution could improve in the visualization."
"The server is too expensive for what you get and it really a designer desktop on a server."
"Sometimes, there are performance constraints. Especially when a large file has to be ingested, the system slows down a bit. Its performance is the only thing that can be improved."
"It's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"The GUI interface functions but it could stand to be updated to a more modern look and feel."
"We are hoping that the NLP features will also support Chinese characters."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"It would be great if Databricks could integrate all the cloud platforms."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"Databricks could improve in some of its functionality."
"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while Databricks is ranked 1st in Data Science Platforms with 78 reviews. Alteryx is rated 8.4, while Databricks is rated 8.2. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". On the other hand, the top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". Alteryx is most compared with KNIME, Dataiku, RapidMiner, Tableau and Microsoft Power BI, whereas Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Apache Flink. See our Alteryx vs. Databricks report.
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We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.